Fire in Ecosystems of Boreal Eurasia: Ecological Impacts and Links to the Global System

Goldammer, J. G.; Furyaev, V. V.

doi:10.1007/978-94-015-8737-2_1

Cited by 77 publications

(82 citation statements)

References 22 publications

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“…For crown fires, a fastmoving high-intensity fire rapidly sweeps through the standing fuels, largely consuming the small fuels, and leaving the bulk of the large fuels (e.g., tree trunks) unconsumed by combustion. imagery, estimated that 14.5 million hectares of boreal forest burned in Russia in 1987, however, in 1992, only 2 million hectares burned (Goldammer and Furyaev, 1996). Thus, boreal fire impacts on atmospheric trace gas and particle budgets will vary significantly from year to year, dependent upon fire severity.…”

Section: Discussionmentioning

confidence: 99%

Crown fire emissions of CO₂, CO, H₂, CH₄, and TNMHC from a dense Jack pine boreal forest fire

Cofer

Winstead

Goldammer

et al. 1998

Geophysical Research Letters

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103

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Abstract. Samples of high-intensity crown fire smoke were collected using a helicopter during the International Crown Fire Modeling Experiment near Fort Providence, Northwest Territories, Canada. The samples were analyzed for carbon dioxide (COO, carbon monoxide (CO), hydrogen (Ha), methane (CH4), and total nonmethane hydrocarbons (TNMHC). COanormalized mean emission ratios (ERs) and emission factors (g product/kg fuel burned) were determined for COa, CO, H a, CH4, and TNMHC. Carbon monoxide production was determined to increase during high-intensity crowning. Unlike CO, a corresponding increase in the production of Ha, CHn, and TNMHC during crowning was not detected. This represents the first clear indication that we know of where relative increases in CO production from vegetation fires are not positively correlated with corresponding increases in CHn, Ha, and TNMHC production. These results may be important to the atmospheric carbon budget, and to the potential use of CO as a normalizing parameter for boreal forest fire emissions.

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Section: Discussionmentioning

confidence: 99%

Crown fire emissions of CO₂, CO, H₂, CH₄, and TNMHC from a dense Jack pine boreal forest fire

Cofer

Winstead

Goldammer

et al. 1998

Geophysical Research Letters

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103

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“…This seemed to clearly indicate that within the study area, due to the occurrence of frequent fires, the tree population in larch-birch forests tended to be uniform in age and size; while due to the longer periods for regeneration between fires, spruce-fir and Siberian pine forests had a higher diversity, both in terms of tree species and in the range of diameter classes. In recent times, a lower fire occurrence in Scandinavia (Goldammer, Furyaev 1996) has been known to lead to a loss of the fire-related generation of deadwood (Horson, Schieck 1999;Conner et al 2001;Siitonen 2001). When compared with these forests, the proportion of deadwood in our study area was found to be clearly above the 10% reported for the wider Scandinavian region (Rylkov 1996), and within the range of values given for natural Scandinavian forests (absolute deadwood volume: 20-90 m 3 ·ha -1 ; Larsson 2001;Siitonen 2001).…”

Section: Composition Structure and Diversity Of Different Forest Typesmentioning

confidence: 99%

“…Amongst all the natural disturbances, fires induced by lightening have the greatest impact on the boreal zone: they not only shape the landscape diversity and affect energy flows and biogeochemical cycles (e.g. carbon release), but also influence forest age, structure, species composition and physiognomy (Goldammer, Furyaev 1996;Grabherr 1997;Schulze et al 2005;Wirth 2005). …”

mentioning

confidence: 99%

Structure of the montane taiga forests of West Khentii, Northern Mongolia

Mühlenberg¹,

Appelfelder²,

Hoffmann³

et al. 2012

J. For. Sci.

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Studies were undertaken to investigate the composition, structure and diversity of four different types of North Mongolian montane forest near the southern border of the taiga. These forest types, classified as willow-poplar, larch-birch, spruce-fir and Siberian-pine forests, were found to be significantly different with respect to the elevational gradient. In the study area, two fire regimes could be distinguished at lower and drier elevations, frequent surface fires resulted in less diverse forests comprising coniferous species, which in their adult form were found to be fire-resistant, burn-colonizing and light-demanding deciduous tree species. In contrast, the forests colonizing the moist, higher elevations and shaded slopes had a higher diversity of tree species with greater basal area, higher proportion of deadwood, and more regenerating trees; here the coniferous shade trees experienced infrequent but destructive treetop fires. Overall, our results showed that the four forest types differed in composition according to the tree species, diameter and height classes.    

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“…It has direct implications for timber stocks, ecology and biodiversity, carbon cycle, and surface radiation budget at the global scale. Russian boreal forests occupy 4-6 million square kilometers (km 2 ) and represent 43%-65% of the global boreal biome [2]. Although the majority of timber produced in Russia is consumed domestically (61% in 2010), the exported timber from Russia was estimated to be worth $9.5 billion in 2010 [3].…”

Section: Introductionmentioning

confidence: 99%

“…In 2011, Russia produced almost a fifth (17.8%) of the world's total industrial roundwood export [4]. While these forests are a major global economic resource, they simultaneously represent the largest contiguous areas of forest cover supporting large populations of brown bears, wolves, moose, and a plethora of other boreal species [2,5,6]. Carbon uptake and storage is dependent on forest successional stage and much of the carbon stocks are found in mature forests [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data

et al. 2014

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Stand age distribution is an important descriptor of boreal forest structure, which is directly linked to many ecosystem processes including the carbon cycle, the land-atmosphere interaction and ecosystem services, among others. Almost half of the global boreal biome is located in Russia. The vast extent, remote location, and limited accessibility of Russian boreal forests make remote sensing the only feasible approach to characterize these forests to their full extent. A wide variety of satellite observations are currently available to monitor forest change and infer its structure; however, the period of observations is mostly limited to the 2000s era. Reconstruction of wall-to-wall maps of stand age distribution requires merging longer-term site observations of forest cover change available at the Landsat scale at a subset of locations in Russia with the wall-to-wall coverage available from coarse resolution satellites since 2000. This paper presents a dataset consisting of a suite of multi-year forest disturbance samples and samples of undisturbed forests across Russia derived from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus images from 1985 to 2000. These samples provide crucial information regarding disturbance history in selected regions across the Russian boreal forest and are designed to serve as a training and/or validation dataset for coarse resolution data products. The overall accuracy and Kappa coefficient for the entire sample collection was found to be 83.98% and 0.83%, respectively. It is hoped that the presented dataset will benefit subsequent studies on a variety of aspects of the Russian boreal forest, especially in relation to the carbon budget and climate.

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Fire in Ecosystems of Boreal Eurasia: Ecological Impacts and Links to the Global System

Cited by 77 publications

References 22 publications

Crown fire emissions of CO₂, CO, H₂, CH₄, and TNMHC from a dense Jack pine boreal forest fire

Crown fire emissions of CO₂, CO, H₂, CH₄, and TNMHC from a dense Jack pine boreal forest fire

Structure of the montane taiga forests of West Khentii, Northern Mongolia

Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data

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Fire in Ecosystems of Boreal Eurasia: Ecological Impacts and Links to the Global System

Cited by 77 publications

References 22 publications

Crown fire emissions of CO2, CO, H2, CH4, and TNMHC from a dense Jack pine boreal forest fire

Crown fire emissions of CO2, CO, H2, CH4, and TNMHC from a dense Jack pine boreal forest fire

Structure of the montane taiga forests of West Khentii, Northern Mongolia

Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data

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Crown fire emissions of CO₂, CO, H₂, CH₄, and TNMHC from a dense Jack pine boreal forest fire

Crown fire emissions of CO₂, CO, H₂, CH₄, and TNMHC from a dense Jack pine boreal forest fire